[Question] Plugin support roadmap
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Description
From the documentation Porting application from TensorRT;
Plugins are not supported in TensorRT-RTX
What is the rough timeline for adding support to plugins in TensorRT-RTX?
We're very interested in using TensorRT-RTX as a replacement for the now quite heavy TensorRT, but custom plugins are mandatory for most of our models (using the C++ API).
Any updates or insights would be greatly appreciated. Thanks!
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the linked TensorRT-RTX documentation, especially the plugin support statement in “Porting application from TensorRT.” Check the issue discussion for any existing roadmap details or maintainer response. Done would mean documenting a confirmed rough timeline or current support plan for C++ custom plugins.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100